Senior Data Engineer
Alvys
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Define and refine Alvys' strategy for LLM-based data products, including data preparation, feature engineering, and semantic layer design for AI applications.
- Build and operationalize large-scale ML and LLM model development and deployment pipelines using Snowflake Cortex and modern MLOps practices.
- Lead the design and evolution of our Snowflake-centric data platform, including storage, processing, semantic modeling, and integration strategies.
- Design and build reliable, performant ETL/ELT pipelines and Reverse ETL workflows for batch, streaming, and real-time data ingestion.
- Leverage Snowflake Cortex for AI/ML workloads, including semantic models, LLM agents, and embedded analytics.
- Develop data models, semantic views, and transformations for both online (real-time) and offline analytical workloads, facilitating business intelligence and predictive analytics.
- Continually monitor, optimize, and tune Snowflake data systems for high scalability, reliability, and cost efficiency.
- Partner with cross-functional teams to implement best practices around data security, quality, governance, and compliance.
- Serve as the organization's go-to expert for emerging data engineering trends, LLM applications, and Snowflake capabilities, providing strategic direction and mentorship to team members.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of professional experience in Data Engineering or a related role, with a strong focus on designing and implementing data architecture.
- Strong proficiency with Snowflake (data modeling, performance optimization, SQL, security).
- Proven track record building, scaling, and maintaining data pipelines and ETL/ELT processes in a production environment.
- Experience with ML/LLM model development and deployment in production environments.
- Proficiency with SQL and one or more programming languages (Python, C#, TypeScript/Node).
- Experience with cloud-based data platforms (Azure, AWS, or GCP).
- Experience working with real-time streaming solutions and Reverse ETL workflows.
- Familiarity with machine learning pipelines, LLM-based applications, feature engineering, and model deployment.
Benefits
- Equal Employment Opportunity
- Accommodations available during recruitment process
- Diverse team of highly talented people
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data preparationfeature engineeringsemantic layer designML model developmentLLM model deploymentETL pipelinesELT pipelinesReverse ETL workflowsdata modelingSQL
Soft skills
leadershipmentorshipcross-functional collaborationstrategic direction
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Data Science